Patterns and determinants of the horizontal and vertical intra-industry trade of regions: panel analysis for Spain & Poland

Tomasz Brodzicki , Tomasz Jurkiewicz , Laura Márquez-Ramos , Stanisław Umiński

Abstract

Most of the empirical studies in the literature on intra-industry trade are conducted at the country level. Countries, however, differ in terms of granularity and internal heterogeneity. In the present study we empirically identify the determinants of the overall IIT as well as its horizontal and vertical components in the trade of Spanish and Polish NUTS-2 regions with all existing trade partners over the period 2005–2014. In order to obtain unbiased results, we utilize a semi-mixed effect model, estimated with the PPML method. We estimate the models jointly for all Spanish and Polish regions and then disjointly in a comparative manner – in order to identify incongruities of reaction to the various factors investigated. These include both traditional factors and a number of unorthodox factors such as regional path dependence, quality of regional institutions, the core or peripheral status of the reporting region.
Author Tomasz Brodzicki (FE/DEEI)
Tomasz Brodzicki,,
- Department of Economics of European Integration
, Tomasz Jurkiewicz (FM/DS)
Tomasz Jurkiewicz,,
- Department of Statistics
, Laura Márquez-Ramos
Laura Márquez-Ramos,,
-
, Stanisław Umiński (FE/RCEI)
Stanisław Umiński,,
- Research Centre on European Integration
Journal seriesApplied Economics, ISSN 0003-6846, e-ISSN 1466-4283, (N/A 40 pkt)
Issue year2020
Vol52
No14
Pages1533-1552
Publication size in sheets0.95
Keywords in Polishintra-industry trade, regional trade, semi-mixed effects model, PPML
ASJC Classification2002 Economics and Econometrics
DOIDOI:10.1080/00036846.2019.1676871
URL https://doi.org/10.1080/00036846.2019.1676871
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 26-02-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.781; WoS Impact Factor: 2017 = 0.750 (2) - 2017=0.906 (5)
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